Evidence map›Paper›PMID 42439341›Full record

ArticleCurrent medical imaging2026

Multimodal Ultrasound in Evaluating Radiotherapy Efficacy for Vaginal Squamous Cell Carcinoma: A Case Report.

Chanjuan Peng, Ru Chen, Jiahui Yu, Hongyun Zhang, Xiaoting Chen, Jiang Zhu

Abstract readCase Reports
In one paragraph

Article in Current medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chanjuan PengDepartment of Ultrasound, Women's Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Ru ChenDepartment of Ultrasound, Yueqing People's Hospital, Wenzhou, China.
Jiahui YuDepartment of Ultrasound, Women's Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Hongyun ZhangDepartment of Ultrasound, Women's Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Xiaoting ChenDepartment of Ultrasound, Women's Hospital School of Medicine, Zhejiang University, Hangzhou, China.
Jiang ZhuDepartment of Ultrasound, Women's Hospital School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaginal malignancy is rare and carries a poor prognosis. MRI is the reference standard for staging and follow-up, but cost and availability are limiting. We describe the use of high-frequency transrectal ultrasound (HF-TRUS) for pre-treatment mapping and early response assessment of primary vaginal cancer. CASE PRESENTATION: A 65-year-old woman presented with post-menopausal bleeding for 20 days. Histology of the right vaginal fornix revealed high-grade squamous intraepithelial lesion (HSIL). Clinical stage cT1N0M0 poorly differentiated carcinoma was confirmed, and curative radiotherapy was planned. HFTRUS (12 MHz linear array, sagittal and axial planes) showed two heterogeneous hypoechoic nodules on the anterior vaginal wall. Gel filling in the vaginal canal created an effective acoustic window, which significantly improved the delineation of the vaginal wall layers and the lesion boundaries. After 45 Gy external-beam radiotherapy, the nodules decreased by 15.2% and 18.2%, respectively; at 6 months post-completion of brachytherapy, one nodule had virtually disappeared. Doppler signal decreased concurrently. MRI at the same time-points provided identical size regression data.

conclusionThis case validates HF-TRUS with contrast enhancement as a reliable MRI alternative for monitoring radiotherapy in vaginal cancer. The ultrasound accurately tracked tumor size and blood flow changes, with results matching MRI. This quick, clinic-based technique fills a critical gap when MRI is not available or contraindicated.

Indexed as

Carcinoma, Squamous CellMultimodal ImagingVaginal NeoplasmsAgedFemaleHumansMagnetic Resonance ImagingTreatment OutcomeUltrasonographyVaginaContrast-enhanced ultrasoundMRIMultimodal ultrasoundRadiotherapy efficacyUltrasonographyVaginal neoplasms

Identifiers

PMID42439341
PMCPMC13602109

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.